MPPT algorithm based on metaheuristic techniques (PSO & GA) dedicated to improve wind energy water pumping system performance-Reference-Cited by-同舟云学术

MPPT algorithm based on metaheuristic techniques (PSO & GA) dedicated to improve wind energy water pumping system performance

Published:2024-08-02 Issue:1 Volume:14 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Bouchakour Abdelhak,Zarour Laid,Bessous Noureddine,Bechouat Mohcene,Borni Abdelhalim,Zaghba Layachi,Rabehi Abdelaziz,Alwabli Abdullah,El-Abd Mohammed,Ghoneim Sherif S. M.

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41598-024-68584-4.pdf

Reference36 articles.

1. Dykes, K. Dynamics of technology innovation and diffusion with emphasis on wind energy. Thesis: Ph. D. in Engineering Systems, Massachusetts Institute of Technology, Institute for Data, Systems, and Society. http://dspace.mit.edu/handle/1721.1/7582 (2016).

2. Davis, C. J. Computational modeling of wind turbine wake interactions. Master of Science Colorado State University (Fort Collins, Colorado, Spring, 2012).

3. Borni, A., Abdelkrim, T., Zaghba, L., Bouchakour, A., Lakhdari, A. & Zaarour, L. Fuzzy logic, PSO based fuzzy logic algorithm and current controls comparative for grid-connected hybrid system. In AIP Conference Proceedings, Vol. 1814 020006 (2017). https://doi.org/10.1063/1.497622

4. Mayouf, M. & Abdessemed, R. Comparative study of a small size wind generation system efficiency for battery charging. Serb. J. Electr. Eng. 10(2), 261–274. https://doi.org/10.2298/SJEE120707003M (2013).

5. Bouchakour, A., Brahami, M. & Borni, A. Comparative study on photovoltaic pumping systems driven by different motors optimized with sliding mode control. Int. J. Eng. Technol. Innov. 7(3), 201–216 (2017).